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            <article class="content wrap" id="_content" data-uid="TensorFlow.PaddingFIFOQueue">
  
  
  <h1 id="TensorFlow_PaddingFIFOQueue" data-uid="TensorFlow.PaddingFIFOQueue">Class PaddingFIFOQueue
  </h1>
  <div class="markdown level0 summary"><p>A FIFOQueue that supports batching variable-sized tensors by padding.
            Port of Python implementation <a href="https://github.com/tensorflow/tensorflow/blob/b46340f40fe5e2ec9bfcd385b07cfb914055fb51/tensorflow/python/ops/data_flow_ops.py#L697">https://github.com/tensorflow/tensorflow/blob/b46340f40fe5e2ec9bfcd385b07cfb914055fb51/tensorflow/python/ops/data_flow_ops.py#L697</a></p>
</div>
  <div class="markdown level0 conceptual"></div>
  <div class="inheritance">
    <h5>Inheritance</h5>
    <div class="level0"><span class="xref">System.Object</span></div>
    <div class="level1"><a class="xref" href="TensorFlow.QueueBase.html">QueueBase</a></div>
    <div class="level2"><span class="xref">PaddingFIFOQueue</span></div>
  </div>
  <div class="inheritedMembers">
    <h5>Inherited Members</h5>
    <div>
      <a class="xref" href="TensorFlow.QueueBase.html#TensorFlow_QueueBase_Session">QueueBase.Session</a>
    </div>
  </div>
  <h6><strong>Namespace</strong>: <a class="xref" href="../TensorFlow.html">TensorFlow</a></h6>
  <h6><strong>Assembly</strong>: TensorFlowSharp.dll</h6>
  <h5 id="TensorFlow_PaddingFIFOQueue_syntax">Syntax</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public class PaddingFIFOQueue : TensorFlow.QueueBase</code></pre>
  </div>
  <h3 id="constructors">Constructors
  </h3>
  
  
  <a id="TensorFlow_PaddingFIFOQueue__ctor_" data-uid="TensorFlow.PaddingFIFOQueue.#ctor*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue__ctor_TensorFlow_TFSession_TensorFlow_TFDataType___TensorFlow_TFShape___System_Nullable_System_Int32__System_String_System_String_" data-uid="TensorFlow.PaddingFIFOQueue.#ctor(TensorFlow.TFSession,TensorFlow.TFDataType[],TensorFlow.TFShape[],System.Nullable{System.Int32},System.String,System.String)">PaddingFIFOQueue(TFSession, TFDataType[], TFShape[], Nullable&lt;Int32&gt;, String, String)</h4>
  <div class="markdown level1 summary"><p>Creates a queue that dequeues elements in a first-in first-out order.
            A <code>PaddingFIFOQueue</code> has bounded capacity; supports multiple concurrent
            producers and consumers; and provides exactly-once delivery.
            A <code>PaddingFIFOQueue</code> holds a list of up to <code>capacity</code> elements.Each
            element is a fixed-length tuple of tensors whose dtypes are
            described by <code>dtypes</code>, and whose shapes are described by the <code>shapes</code></p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public PaddingFIFOQueue (TensorFlow.TFSession session, TensorFlow.TFDataType[] componentTypes, TensorFlow.TFShape[] shapes, Nullable&lt;int&gt; capacity = null, string container = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFSession.html">TFSession</a></td>
        <td><span class="parametername">session</span></td>
        <td><p>To be added.</p>
</td>
      </tr>
      <tr>
        <td><a class="xref" href="TensorFlow.TFDataType.html">TFDataType</a>[]</td>
        <td><span class="parametername">componentTypes</span></td>
        <td><p>The type of each component in a tuple.</p>
</td>
      </tr>
      <tr>
        <td><a class="xref" href="TensorFlow.TFShape.html">TFShape</a>[]</td>
        <td><span class="parametername">shapes</span></td>
        <td><p>Optional argument
              The shape of each component in a value. The length of this attr must
              be either 0 or the same as the length of component_types.
              Shapes of fixed rank but variable size are allowed by setting
              any shape dimension to -1.  In this case, the inputs&#39; shape may vary along
              the given dimension, and DequeueMany will pad the given dimension with
              zeros up to the maximum shape of all elements in the given batch.
              If the length of this attr is 0, different queue elements may have
              different ranks and shapes, but only one element may be dequeued at a time.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int32</span>&gt;</td>
        <td><span class="parametername">capacity</span></td>
        <td><p>Optional argument. The upper bound on the number of elements in this queue. Negative numbers mean no limit.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">container</span></td>
        <td><p>Optional argument. If non-empty, this queue is placed in the given container. Otherwise, a default container is used.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;PaddingFIFOQueueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h3 id="methods">Methods
  </h3>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_Dequeue_" data-uid="TensorFlow.PaddingFIFOQueue.Dequeue*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_Dequeue_System_Nullable_System_Int64__System_String_" data-uid="TensorFlow.PaddingFIFOQueue.Dequeue(System.Nullable{System.Int64},System.String)">Dequeue(Nullable&lt;Int64&gt;, String)</h4>
  <div class="markdown level1 summary"><p>Dequeues a tuple of one or more tensors from the given queue.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public override TensorFlow.TFOutput[] Dequeue (Nullable&lt;long&gt; timeout_ms = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int64</span>&gt;</td>
        <td><span class="parametername">timeout_ms</span></td>
        <td><p>Optional argument
              If the queue is empty, this operation will block for up to
              timeout_ms milliseconds.
              Note: This option is not supported yet.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueDequeueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFOutput.html">TFOutput</a>[]</td>
        <td><p>One or more tensors that were dequeued as a tuple.
              The TFOperation can be fetched from the resulting TFOutput, by fethching the Operation property from the result.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 id="TensorFlow_PaddingFIFOQueue_Dequeue_System_Nullable_System_Int64__System_String__remarks">Remarks</h5>
  <div class="markdown level1 remarks"><p>This operation has k outputs, where k is the number of components
              in the tuples stored in the given queue, and output i is the ith
              component of the dequeued tuple.</p>
</div>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_DequeueExecute_" data-uid="TensorFlow.PaddingFIFOQueue.DequeueExecute*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_DequeueExecute_System_Nullable_System_Int64__System_String_" data-uid="TensorFlow.PaddingFIFOQueue.DequeueExecute(System.Nullable{System.Int64},System.String)">DequeueExecute(Nullable&lt;Int64&gt;, String)</h4>
  <div class="markdown level1 summary"><p>Dequeues a tuple of one or more tensors from this queue and runs the session.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public TensorFlow.TFTensor[] DequeueExecute (Nullable&lt;long&gt; timeout_ms = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int64</span>&gt;</td>
        <td><span class="parametername">timeout_ms</span></td>
        <td><p>Optional argument
              If the queue is empty, this operation will block for up to
              timeout_ms milliseconds.
              Note: This option is not supported yet.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueDequeueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFTensor.html">TFTensor</a>[]</td>
        <td><p>One or more tensors that were dequeued as a tuple.
              The TFOperation can be fetched from the resulting TFOutput, by fethching the Operation property from the result.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 id="TensorFlow_PaddingFIFOQueue_DequeueExecute_System_Nullable_System_Int64__System_String__remarks">Remarks</h5>
  <div class="markdown level1 remarks"><p>This operation has k outputs, where k is the number of components
              in the tuples stored in the given queue, and output i is the ith
              component of the dequeued tuple.</p>
</div>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_DequeueExecute__1_" data-uid="TensorFlow.PaddingFIFOQueue.DequeueExecute``1*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_DequeueExecute__1_System_Nullable_System_Int64__System_String_" data-uid="TensorFlow.PaddingFIFOQueue.DequeueExecute``1(System.Nullable{System.Int64},System.String)">DequeueExecute&lt;T&gt;(Nullable&lt;Int64&gt;, String)</h4>
  <div class="markdown level1 summary"><p>Dequeues elements from this queue and cast all elements to specific T type. It can be use when all elements in the queue of the same T type</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public T[] DequeueExecute&lt;T&gt; (Nullable&lt;long&gt; timeout_ms = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int64</span>&gt;</td>
        <td><span class="parametername">timeout_ms</span></td>
        <td><p>Optional argument
              If the queue is empty, this operation will block for up to
              timeout_ms milliseconds.
              Note: This option is not supported yet.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueDequeueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">T</span>[]</td>
        <td><p>To be added.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="typeParameters">Type Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="parametername">T</span></td>
        <td><p>To be added.</p>
</td>
      </tr>
    </tbody>
  </table>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_Enqueue_" data-uid="TensorFlow.PaddingFIFOQueue.Enqueue*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_Enqueue_TensorFlow_TFOutput___System_Nullable_System_Int64__System_String_" data-uid="TensorFlow.PaddingFIFOQueue.Enqueue(TensorFlow.TFOutput[],System.Nullable{System.Int64},System.String)">Enqueue(TFOutput[], Nullable&lt;Int64&gt;, String)</h4>
  <div class="markdown level1 summary"><p>Enqueues a tuple of one or more tensors in this queue.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public override TensorFlow.TFOperation Enqueue (TensorFlow.TFOutput[] components, Nullable&lt;long&gt; timeout_ms = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFOutput.html">TFOutput</a>[]</td>
        <td><span class="parametername">components</span></td>
        <td><p>One or more tensors from which the enqueued tensors should be taken.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int64</span>&gt;</td>
        <td><span class="parametername">timeout_ms</span></td>
        <td><p>Optional argument
              If the queue is full, this operation will block for up to
              timeout_ms milliseconds.
              Note: This option is not supported yet.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueEnqueueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFOperation.html">TFOperation</a></td>
        <td><p>Returns the description of the operation</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 id="TensorFlow_PaddingFIFOQueue_Enqueue_TensorFlow_TFOutput___System_Nullable_System_Int64__System_String__remarks">Remarks</h5>
  <div class="markdown level1 remarks"><p>The components input has k elements, which correspond to the components of
              tuples stored in the given queue.</p>
<pre><code>          N.B. If the queue is full, this operation will block until the given
          element has been enqueued (or &#39;timeout_ms&#39; elapses, if specified).
</code></pre></div>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_EnqueueExecute_" data-uid="TensorFlow.PaddingFIFOQueue.EnqueueExecute*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_EnqueueExecute_TensorFlow_TFOutput___TensorFlow_TFTensor___System_Nullable_System_Int64__System_String_" data-uid="TensorFlow.PaddingFIFOQueue.EnqueueExecute(TensorFlow.TFOutput[],TensorFlow.TFTensor[],System.Nullable{System.Int64},System.String)">EnqueueExecute(TFOutput[], TFTensor[], Nullable&lt;Int64&gt;, String)</h4>
  <div class="markdown level1 summary"><p>Enqueues a tuple of one or more tensors in this queue and runs the session.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public TensorFlow.TFTensor[] EnqueueExecute (TensorFlow.TFOutput[] components, TensorFlow.TFTensor[] inputValues, Nullable&lt;long&gt; timeout_ms = null, string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFOutput.html">TFOutput</a>[]</td>
        <td><span class="parametername">components</span></td>
        <td><p>One or more tensors from which the enqueued tensors should be taken.</p>
</td>
      </tr>
      <tr>
        <td><a class="xref" href="TensorFlow.TFTensor.html">TFTensor</a>[]</td>
        <td><span class="parametername">inputValues</span></td>
        <td><p>Values to enqueue</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Nullable</span>&lt;<span class="xref">System.Int64</span>&gt;</td>
        <td><span class="parametername">timeout_ms</span></td>
        <td><p>Optional argument
              If the queue is full, this operation will block for up to
              timeout_ms milliseconds.
              Note: This option is not supported yet.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueEnqueueV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFTensor.html">TFTensor</a>[]</td>
        <td><p>Returns the description of the operation</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 id="TensorFlow_PaddingFIFOQueue_EnqueueExecute_TensorFlow_TFOutput___TensorFlow_TFTensor___System_Nullable_System_Int64__System_String__remarks">Remarks</h5>
  <div class="markdown level1 remarks"><p>The components input has k elements, which correspond to the components of
              tuples stored in the given queue.</p>
</div>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_GetSize_" data-uid="TensorFlow.PaddingFIFOQueue.GetSize*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_GetSize_System_String_" data-uid="TensorFlow.PaddingFIFOQueue.GetSize(System.String)">GetSize(String)</h4>
  <div class="markdown level1 summary"><p>Gets the size of this queue.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public override TensorFlow.TFOutput GetSize (string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueSizeV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><a class="xref" href="TensorFlow.TFOutput.html">TFOutput</a></td>
        <td><p>queue size</p>
</td>
      </tr>
    </tbody>
  </table>
  
  
  <a id="TensorFlow_PaddingFIFOQueue_GetSizeExecute_" data-uid="TensorFlow.PaddingFIFOQueue.GetSizeExecute*"></a>
  <h4 id="TensorFlow_PaddingFIFOQueue_GetSizeExecute_System_String_" data-uid="TensorFlow.PaddingFIFOQueue.GetSizeExecute(System.String)">GetSizeExecute(String)</h4>
  <div class="markdown level1 summary"><p>Uses provided session instance to obtain the size of this queue</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public int GetSizeExecute (string operationName = null);</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">operationName</span></td>
        <td><p>If specified, the created operation in the graph will be this one, otherwise it will be named &#39;QueueSizeV2&#39;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h5 class="returns">Returns</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.Int32</span></td>
        <td><p>number of elements in the queue</p>
</td>
      </tr>
    </tbody>
  </table>
</article>
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